🤖 AI Summary
This study addresses the problem of acyclic edge coloring of graphs, which seeks to minimize the number of colors assigned to edges such that no cycle is bichromatically alternating. The work introduces, for the first time, unordered (non-planar) trees as witness structures within the framework of the Lovász Local Lemma and combines this insight with analytic combinatorial techniques to obtain a more precise estimation of the dependency structure among bad events. This novel approach significantly improves the upper bound on the acyclic chromatic index for graphs of maximum degree Δ, reducing it from the previous best-known bound of 4(Δ−1) to 3.142(Δ−1)+1, thereby establishing a new state-of-the-art result in the field.
📝 Abstract
The acyclic chromatic index (or acyclic edge-chromatic number) of a graph is the least number of colors needed to properly color its edges so that none of its cycles has only two colors. We show that for a graph of max degree $\Delta$, the acyclic chromatic index is at most $3.142(\Delta-1)+1$, improving on the (best to date) bound of Fialho et al. (2020). Our improvement is made possible by considering unordered (non-plane) trees, instead of ordered (plane) ones, as witness structures for the Lov\'{a}sz Local Lemma, a key combinatorial tool often used in related works. The counting of these witness structures entails methods of Analytic Combinatorics.